Description
Scale's Global Public Sector team uses AI to address critical challenges facing the public sector worldwide. As a Senior Applied AI Engineer, you will own the AI behaviour of production systems that clients depend on, including agents, evaluations, and backend integration.
You will:
- Own the AI layer of production systems for public sector clients, including agents, model integration, and backend services
- Build production agents from established architectural patterns with reliable tool calls, guardrails, and observability
- Select and adapt evaluation methods, and design new evaluations for client-specific risks
- Apply context engineering, retrieval-augmented generation, model adaptation, or inference optimisation
- Investigate regressions, lead root-cause analysis, and implement preventative changes
- Lead project planning and manage client expectations on scope, risk, and delivery
- Codify recurring client work into reusable tooling, evaluation components, or guidance
- Mentor engineers through code review, pairing, and delegated ownership
Requirements:
- Backend engineering experience with AI/ML systems in production
- Ownership of AI behaviour of a production system end-to-end
- Hands-on evaluation design that ties model behaviour to real-world outcomes
- Comfort working directly with clients, explaining model behaviour and trade-offs
- Practical knowledge of handling regulated or sensitive data and designing for auditability
- Experience leading root-cause analysis on production AI or ML systems